# Data Analyst

**Company**: NEXT
**Location**: Leicester, Leicestershire
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Salary**: From £33,000
**Category**: Data Science
**Industry**: Finance

**Apply**: https://ekeq.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/76607?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9393e9b7-adc

## Description

As a Data Analyst within our Finance Operations team at NEXT, you will play a key role in turning complex operational and financial data into clear, actionable insight.

You will be a core builder of our analytical reporting capability, using SQL, Databricks, and Power BI to create trusted data assets, develop reporting solutions, and support better decision-making across Finance and Third-Party (TP) Retail Operations.

This is a hands-on role requiring strong technical capability alongside excellent analytical and stakeholder skills. You will work with large and complex datasets, build scalable data solutions, develop engaging Power BI dashboards, and translate analysis into clear recommendations for technical and non-technical audiences.

**Responsibilities**

- Use SQL/T-SQL to query, transform, analyse, and optimise complex operational and financial datasets.

- Use Databricks to interrogate and investigate data to provide valuable insights for our retails and stock operations.

- Develop Power BI reporting to provide key insights to our Partners.

- Structure data to support high-performing Power BI solutions, with a strong understanding of DAX and data modelling.

- Develop and maintain data quality, validation, and governance processes to ensure reporting is accurate and trusted.

- Define KPIs and reporting requirements with Finance and operational stakeholders.

- Analyse performance, investigate variances, and identify opportunities for improvement.

- Translate complex data into clear, compelling stories and recommendations that influence business decisions.

- Deliver ad-hoc analysis and reporting to support key operational events and priorities.

- Work collaboratively with Finance, Retail, and other analytical teams to improve reporting and analytical processes.

**Requirements**

- Advanced SQL/T-SQL skills, with the ability to write, optimise, and debug complex queries and work with large datasets.

- Experience creating reliable, scalable data solutions for reporting and analytical consumption.

- Strong analytical and problem-solving skills, with the ability to turn data into actionable business insight.

- Excellent communication skills, with the ability to explain complex findings to senior and non-technical stakeholders.

- A proactive approach with the ability to take ownership of solutions from requirements through to delivery.

- Experience working in a large-scale operational environment.

**Benefits**

- 25% off most NEXT, MADE, Lipsy, Gap, and Victoria's Secret products

- Company performance-based bonus

- Sharesave scheme

- On-site Nursery available

- 10% off most partner brands and up to 15% off Branded Beauty

- Early VIP access to sale stock

- Access to fantastic discounts at our Staff Shops

- Restaurants with great food at amazing prices

- Access to a digital GP and other free health and wellbeing services

- Free on-site parking

- Financial Wellbeing - Save, track, and enhance your financial wellbeing

- Apprenticeship - Grow and develop on the job whilst gaining a qualification

- Direct to Work - Discount online and in-store, collect your items the next day for free from your place of work or local store

- Support Networks - Access to Network Groups to empower and celebrate each other

- Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions, and more

## Skills

### Required
- SQL
- T-SQL
- Databricks
- Power BI
- DAX
- data modelling

### Nice to have
- Python
- Databricks Workflows/Jobs
- scalable ETL/ELT pipelines
- data governance and quality frameworks

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Source: [Apply at ekeq.fa.em2.oraclecloud.com](https://ekeq.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/76607?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)